Environmental variation and large-scale Gracilaria production

Abstract

Temporal and spatial abiotic variation in seaweed farms should be anticipated to maximize production through alternative exploitation strategies. This study describes the basic assumptions and the most relevant data used to empirically develop a production model aimed at improving prediction and increasing production of Gracilaria farms in northern Chile. Continuous light and temperature recordings since 1986 have allowed us to relate abiotic variations with high production seasons of Gracilaria or with the presence of pests and epiphytes. Much of the interannual variations in light and temperature appear as part of a predictable pattern of change between ENSO (El Niño/Southern Oscillation) and inter-ENSO years. Production has been found to be a function of stock density and harvesting frequency, two parameters that can be effectively manipulated in the field. Thus, the range of climatic change now can be anticipated to some extent which, in turn, suggests the best farming strategy. During seasons or growth periods anticipated to be highly productive, farming activities are oriented to maintain high percentage removal of the stock through frequent harvesting. During seasons anticipated to be low in production, activities are oriented to prevent biomass losses due to the blooms of epiphytes and pests and to secure stocks to renew through planting the damaged parts of the beds after the blooms.